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Zahra Ghafarimoghadam; ebrahim moradi; mahmoud hashemi tabar; Ali Sardar Shahraki
Abstract
The purpose of this study was to gain a better understanding of the future of water in the agricultural sector of the Sistan region. In this study, to determine the final drivers, we relied on Future Studies techniques and, by using the Expert Panel method, 23 drivers were identified and seven main drivers ...
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The purpose of this study was to gain a better understanding of the future of water in the agricultural sector of the Sistan region. In this study, to determine the final drivers, we relied on Future Studies techniques and, by using the Expert Panel method, 23 drivers were identified and seven main drivers affecting the Sistan water crisis were used to write the scenarios by Delphi method. These factors included drought, dependence on external water resources, the lack of sufficient attention to water resources management, careless cultivation of crops with high water requirement, inappropriate irrigation methods, technological weakness of agriculture, and free water charges in the agriculture sector. Also, 86% of the Sistan region will be exposed to a severe water crisis in the future according to the hazard zonation map. Furthermore, probable conditions for each of these factors were presented, and using that, 3 scenarios with high acclimatization include the first, second, and third scenarios for the water crisis in Sistan, which were designed using the Wizard Scenario software. In these scenarios, three situations including: possible state (if the drivers remain in the current state), optimistic state (improvement of the condition), and pessimistic state (weakening of the condition) were designed for each of the factors. Cultivation of crops with high water requirement were in a pessimistic state, free water and drought in a possible state, and the other drivers in an optimistic state. In these scenarios, optimistic conditions were superior to others and formed most of the assumptions. It is expected that these scenarios would improve water and agricultural conditions in the Sistan Plain.
Z GH; H F
Abstract
In order to estimate the production function of canola and Indian mustard under low irrigation, a factorial experiment was conducted based on completely random blocks in three replications during two growing seasons, 2013 and 2014, in the Agriculture and Natural Resources Research Station of Zahak, ...
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In order to estimate the production function of canola and Indian mustard under low irrigation, a factorial experiment was conducted based on completely random blocks in three replications during two growing seasons, 2013 and 2014, in the Agriculture and Natural Resources Research Station of Zahak, Sistan and Baluchistan province , Iran. The tested factors were the irrigation regime at three levels (irrigation after 50%, 70%, and 90% of soil moisture depletion by the plant, SWD); potassium rate at three levels of application (0, 150, and 250 kg potassium sulfate/ha), and their interaction effect on two species of the Brassica genus including oilseed rape (Hyola hybrid 401) and mustard (the native cultivar of India). In this paper, the effects of low irrigation on production functions, costs, profits, and revenue of both Hindi Rape and mustard were investigated. Four tyip types of production function were considered including Quadratic, Traonlog, Cobb-Douglas and Leontieof. And by using econometric tests, the best form of function in terms of its processing fitness in rape and mustard was identified as the quadratic function. The economic analysis results showed that 70% SWD treatment and 90% SWD with application of 250 kg potassium sulfate fertilizer, respectively, had the highest profit in terms of the consumed water and the benefit to cost ratio, so, they were introduced as the superior treatments in production of canola and mustard.